Research on Emergency Repair of Distribution Network Considering Cooperative Scheduling of Power Supply Vehicles

With the development of China's national economy and the acceleration of urbanization, the production and life of society are increasingly dependent on power supply. Thus, how to ensure the safety and reliability of electric energy is becoming more and more important. It would cause substantial losses in case of a large‐scale blackout, which is what we need to avoid. The recovery speed of the power outage is one of the most vital core issue, fast recovery of power supply in the distribution network is a significant way of improving emergency disposal efficiency. In order to make full use of the emergency resources and improve the efficiency of distribution network emergency repair, this paper presents a coordinated optimal scheduling of emergency power supply vehicles and emergency repair teams in the case of multiple faults. First, the emergency repair disposal path optimization model is created, with the goal of minimizing emergency disposal time and outage losses. Second, an emergency power supply vehicle scheduling model is established, with the goal of maximizing the economic benefit. And the optimal dispatch model of the emergency power supply vehicle with the highest value of the recovery load is built by using the transfer strategy matrix. Finally, the binary particle swarm optimization (BPSO) algorithm is used to solve the optimization models in the IEEE33 node distribution network model. The results indicates that the optimized scheduling strategy considering the coordinated dispatch of emergency power supply vehicles and emergency repair teams can be obtained, and the validity of the proposed method is verified. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.

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Publication Details

Journal
IEEJ Transactions on Electrical and Electronic Engineering
Published
2024-10-04
DOI
https://doi.org/10.1002/tee.24208
Citations
1
Primary Topic
Optimal Power Flow Distribution
Type
article
Field-Weighted Citation Impact
0.21
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Research on Emergency Repair of Distribution Network Considering Cooperative Scheduling of Power Supply Vehicles

Zhipeng Wu, Tianchu Li, Yuanhuang Liu, Qinan Lin
1 citations
IEEJ Transactions on Electrical and Electronic Engineering
Optimal Power Flow Distribution
0.21
article

Research on Emergency Repair of Distribution Network Considering Cooperative Scheduling of Power Supply Vehicles

Zhipeng Wu, Tianchu Li, Yuanhuang Liu, Qinan Lin
article en
1 citations

Abstract

With the development of China's national economy and the acceleration of urbanization, the production and life of society are increasingly dependent on power supply. Thus, how to ensure the safety and reliability of electric energy is becoming more and more important. It would cause substantial losses in case of a large‐scale blackout, which is what we need to avoid. The recovery speed of the power outage is one of the most vital core issue, fast recovery of power supply in the distribution network is a significant way of improving emergency disposal efficiency. In order to make full use of the emergency resources and improve the efficiency of distribution network emergency repair, this paper presents a coordinated optimal scheduling of emergency power supply vehicles and emergency repair teams in the case of multiple faults. First, the emergency repair disposal path optimization model is created, with the goal of minimizing emergency disposal time and outage losses. Second, an emergency power supply vehicle scheduling model is established, with the goal of maximizing the economic benefit. And the optimal dispatch model of the emergency power supply vehicle with the highest value of the recovery load is built by using the transfer strategy matrix. Finally, the binary particle swarm optimization (BPSO) algorithm is used to solve the optimization models in the IEEE33 node distribution network model. The results indicates that the optimized scheduling strategy considering the coordinated dispatch of emergency power supply vehicles and emergency repair teams can be obtained, and the validity of the proposed method is verified. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.

IEEJ Transactions on Electrical and Electronic EngineeringVol. 20(3)
Fuzhou University (CN)
Openalex Percentile: Top 47%
Optimal Power Flow Distribution
0.21
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Research on Emergency Repair of Distribution Network Considering Cooperative Scheduling of Power Supply Vehicles — Zhipeng Wu, Tianchu Li, et al. · IEEJ Transactions on Electrical and Electronic Engineering (2024) | TGRS Research Map | TGRS